2021
NLP, Deep Learning, Data Engineering
Penny-Stock Sentiment & ForecastingInternet Bull Report
Scraping pipelines, LSTM price models and news-headline sentiment classification for a financial newsletter, fully automated end-to-end on GCP.
In numbers
- +80%
- weekly report subscriptions
What I did
- 1.
Built a Python application using Beautiful Soup to scrape financial data from FinViz and Yahoo Finance, cleaning text and creating structured datasets for each penny stock by market sector.
- 2.
Developed LSTM models to predict stock prices and ran sentiment analysis on financial news to classify headlines as positive, negative, or neutral.
- 3.
Implemented the entire pipeline end-to-end in GCP, fully automating data collection, modelling, and reporting.
- 4.
Achieved an 80% increase in weekly report subscriptions by delivering more accurate, data-driven insights.
Built with
Python · Beautiful Soup · LSTM · TensorFlow · GCP · Pandas
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